Xiaohan Yue , Peng Yang , Haoran Si , Haibo Yang , Fucai Zhou , Qiang Wang , Zhuo Yang , Shi Bai , Yuan He
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引用次数: 0
Abstract
With the outbreak of health emergencies such as COVID-19 and monkeypox, individuals are required to present their pandemic prevention and control (PPC) credentials when accessing public venues, which raises significant privacy concerns that the data from individuals embedded in the PPC credentials may be leaked maliciously. While previous studies have proposed privacy-preserving solutions, they come with their own set of challenges. Specifically, none can simultaneously meet the requirements of non-transferability for the information in authentication and privacy protection for personal identities. Moreover, the existing membership management mechanisms adopted by revocable solutions entail additional computational costs for both users and verifiers. Therefore, this paper presents an anonymous authentication scheme for health emergencies in public venues (A2SHE, for short) to overcome these challenges. A2SHE offers a novel membership management mechanism that supports revocability for invalid users and traceability for patients while considering the trade-off between privacy and performance. A2SHE also introduces a biometric-based key derivation algorithm to prevent the transferability of authentication information. Furthermore, based on the framework of A2SHE and considering the security and privacy requirements for health emergencies in public venues, a concrete construction of A2SHE is presented. The feasibility of the proposed scheme is demonstrated through both of the security and performance analysis. The results show that A2SHE achieves an optimal balance between security and performance that differs from previous schemes, presenting a novel practical approach for access control in public venues.
期刊介绍:
Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions.
Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.